Agentic AI Engineer

We are seeking an Agentic AI Engineer to support the development of a customized AI agent solution for one of our clients.

We're a consulting team that helps clients design and build customized AI agent solutions. You'll work across engagements — understanding client problems, architecting the right agentic approach, and shipping working systems. This is not a research role. You'll be in the work — building agents that go live, with real clients, on real timelines.

We move fast and work across multiple client contexts. You'll need to be comfortable with ambiguity, adapt quickly across industries, and take ownership of your engagements without much hand-holding.

If you thrive in structured, single-product environments with long planning cycles, this probably isn't the right fit. If you love the variety of consulting and want to build things that actually ship, let's talk.

Remote position (40 hours per week)

Full-time role

$30+/hr

No C2C resumes are considered

• Consult with clients to understand their workflows, pain points, and where agentic AI can create real leverage
• Design and build custom AI agent solutions tailored to each client's stack, data, and constraints
• Own full delivery — from architecture and prompt design to tool integration, testing, and handoff
• Build evals and monitoring so clients can trust what's running in production
• Move across engagements — you'll context-switch between clients and industries

• A minimum of 2 years of experience is required
• Education requirements: Master's degree
• Mandatory skills: Agentic AI, Claude, LLM
• Building production-grade agentic systems using frameworks like Lang Chain, Lang Graph, CrewAI, Auto Gen, or Claude Agent SDK
• Designing agent architectures: tool routing, memory, multi-agent coordination, retrieval pipelines
• Translating a client's messy real-world process into a structured agent design
• Communicating clearly with non-technical stakeholders — you can explain what you're building and why
• Delivering under real project constraints — timelines, client expectations, shifting requirements

• Experience building agents for GTM use cases — sales research, outreach automation, CRM workflows, lead enrichment, or marketing operations
• Comfort connecting agents to third-party APIs, CRMs (Hub Spot, Salesforce), or communication tools